Evidence map›Paper›PMID 38616209›Full record

Trial reportAnnals of surgical oncology2024

The Influence of Surgical Complexity and Center Experience on Postoperative Morbidity After Minimally Invasive Surgery in Gynecologic Oncology: Lessons Learned from the ROBOGYN-1004 Trial.

Eric Lambaudie, Emilie Bogart, Marie-Cécile Le Deley, Houssein El Hajj, Tristan Gauthier, Thomas Hebert, Pierre Collinet, Jean Marc Classe, Fabrice Lecuru, Stephanie Motton and 7 more

Open access · hybridAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 13 institutions in 1 country.

Eric LambaudiePaoli Calmettes Institute, Marseille, France.
Emilie BogartOscar Lambret Cancer Center, Lille, France.
Marie-Cécile Le DeleyOscar Lambret Cancer Center, Lille, France.
Houssein El HajjPaoli Calmettes Institute, Marseille, France. Houssein-elhajj@outlook.com.ORCID http://orcid.org/0000-0001-7613-8354
Tristan GauthierUniversity Hospital-Limoges, Limoges, France.
Thomas HebertUniversity Hospital-Tours, Tours, France.
Pierre CollinetUniversity Hospital-Lille, Lille, France.
Jean Marc ClasseInstitut de Cancérologie de l'Ouest-Nantes, Nantes, France.
Fabrice LecuruCurie Institute, Paris, France.
Stephanie MottonUniversity Hospital-Toulouse, Toulouse, France.
Vanessa ConriUniversity Hospital-Bordeaux, Bordeaux, France.
Catherine FerrerUniversity Hospital-Nîmes, Nîmes, France.
Frederic MarchalCRAN, UMR 7039, CNRS Institut de Cancérologie de Lorraine Vandoeuvre les-Nancy, Université de Lorraine, Nancy, France.
Gwenael FerronInstitut Claudius Regaud Cancer Center-Toulouse, Toulouse, France.
Alicia ProbstOscar Lambret Cancer Center, Lille, France.
Camille JauffretPaoli Calmettes Institute, Marseille, France.
Fabrice NarducciOscar Lambret Cancer Center, Lille, France.
Centre Oscar Lambret · FRInstitut Paoli-Calmettes · FRCentre National de la Recherche Scientifique · FRInstitut Claudius Regaud · FRInstitut Curie · FRInstitut de Cancérologie de l'Ouest · FRUniversité de Bordeaux · FRUniversité de Lille · FRUniversité de Limoges · FRUniversité de Nîmes · FRUniversité de Tours · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversité Paris-Sud · FR

Funding

Institut National Du Cancer INCa-PHRC-2010
6 · The paper itself

Abstract

backgroundThis study was a secondary analysis of the ROBOGYN-1004 trial conducted between 2010 and 2015. The study aimed to identify factors that affect postoperative morbidity after either robot-assisted laparoscopy (RL) or conventional laparoscopy (CL) in gynecologic oncology.

methodsThe study used two-level logistic regression analyses to evaluate the prognostic and predictive value of patient, surgery, and center characteristics in predicting severe postoperative morbidity 6 months after surgery.

resultsThis analysis included 368 patients. Severe morbidity occurred in 49 (28 %) of 176 patients who underwent RL versus 41 (21 %) of 192 patients who underwent CL (p = 0.15). In the multivariate analysis, after adjustment for the treatment group (RL vs CL), the risk of severe morbidity increased significantly for patients who had poorer performance status, with an odds ratio (OR) of 1.62 for the 1-point difference in the WHO performance score (95 % CI 1.06-2.47; p = 0.027) and according to the type of surgery (p < 0.001). A focus on complex surgical acts showed significant more morbidity in the RL group than in the CL group at the less experienced centers (OR, 3.31; 95 % CI 1.0-11; p = 0.05) compared with no impact at the experienced centers (OR, 0.87; 95 % CI 0.38-1.99; p = 0.75).

conclusionThe findings suggest that the center's experience may have an impact on the risk of morbidity for patients undergoing complex robot-assisted surgical procedures.

Indexed as

Genital Neoplasms, FemaleLaparoscopyPostoperative ComplicationsRobotic Surgical ProceduresAdultAgedFemaleFollow-Up StudiesGynecologic Surgical ProceduresHumansMiddle AgedMinimally Invasive Surgical ProceduresMorbidityPrognosisConventional laparoscopyGynecologic oncologyMorbidityPrognostics factorsRandomized phase III trialRobotic-assisted laparoscopy

Identifiers

PMID38616209
PMCPMC11164758
OpenAlexW4394793438

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.